Search Results - "Juszczyszyn, K."

  • Showing 1 - 12 results of 12
Refine Results
  1. 1

    Verifying enterprise's mandatory access control policies with coloured Petri nets by Juszczyszyn, K.

    “…The paper addresses important problems met when implementing mandatory access control policies in complex distributed systems (e.g. enterprise networks). The…”
    Get full text
    Conference Proceeding
  2. 2

    Molecular dynamics modelling of the temporal changes in complex networks by Juszczyszyn, K., Musial, A., Musial, K., Brodka, P.

    “…The dynamic of complex social networks is nowadays one of the research areas of growing importance. The knowledge about the temporal changes of the network…”
    Get full text
    Conference Proceeding
  3. 3

    Link Prediction Based on Subgraph Evolution in Dynamic Social Networks by Juszczyszyn, K., Musial, K., Budka, M.

    “…We propose a new method for characterizing the dynamics of complex networks with its application to the link prediction problem. Our approach is based on the…”
    Get full text
    Conference Proceeding
  4. 4

    Predicting the Evolution of Social Networks: Optimal Time Window Size for Increased Accuracy by Budka, M., Musial, K., Juszczyszyn, K.

    “…This study investigates the data preparation process for predictive modelling of the evolution of complex networked systems, using an e -- mail based social…”
    Get full text
    Conference Proceeding
  5. 5

    The Dynamic Structural Patterns of Social Networks Based on Triad Transitions by Juszczyszyn, K., Budka, M., Musial, K.

    “…In modern social networks built from the data collected in various computer systems we observe constant changes corresponding to external events or the…”
    Get full text
    Conference Proceeding
  6. 6

    Discovering the Evolutionary Patterns in Local Topology of an E-Mail Social Network by Juszczyszyn, K., Frys, W.

    “…We present a new approach to the quantifying changes in an email social network illustrated by the data from the Enron dataset). The Triad Transition Matrix…”
    Get full text
    Conference Proceeding
  7. 7

    Quantifying social network dynamics by Michalski, R., Brodka, P., Kazienko, P., Juszczyszyn, K.

    “…The dynamic character of most social networks requires to model evolution of networks in order to enable complex analysis of theirs dynamics. The following…”
    Get full text
    Conference Proceeding
  8. 8

    Motif-Based Analysis of Social Position Influence on Interconnection Patterns in Complex Social Network by Musial, K., Juszczyszyn, K.

    “…Motifs are small subgraphs showing statistically significant occurrence in given network. Motif analysis helps to insight into the local topology and functions…”
    Get full text
    Conference Proceeding
  9. 9

    Applications of the Future Internet Engineering Project by Grzech, A., Juszczyszyn, K., Swiatek, P., Mazurek, C., Sochan, A.

    “…The paper gain is to present at the glance applications proposed, deployed and tested within Future Internet Engineering (FIE) project. The elaborated…”
    Get full text
    Conference Proceeding
  10. 10

    A Probabilistic Approach to Structural Change Prediction in Evolving Social Networks by Juszczyszyn, K., Gonczarek, A., Tomczak, J. M., Musial, K., Budka, M.

    “…We propose a predictive model of structural changes in elementary sub graphs of social network based on Mixture of Markov Chains. The model is trained and…”
    Get full text
    Conference Proceeding
  11. 11

    Temporal Changes in Connection Patterns of an Email-Based Social Network by Juszczyszyn, Krzysztof, Kazienko, Przemyslaw, Musial, Katarzyna, Gabrys, Bogdan

    “…Network motifs are small subgraphs that reflect local network topology and were shown to be useful for creating profiles that reveal several properties of the…”
    Get full text
    Conference Proceeding
  12. 12

    Utilizing Dynamic Molecular Modelling Technique for Predicting Changes in Complex Social Networks by Juszczyszyn, K, Musial, A, Musial, K, Bródka, P

    “…We present a method that utilises dynamic molecular modelling technique to track the changes within complex social network. The users forming a social network…”
    Get full text
    Conference Proceeding